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Zhuang J.L.,Guangxi Academy of science
Ying yong sheng tai xue bao = The journal of applied ecology / Zhongguo sheng tai xue xue hui, Zhongguo ke xue yuan Shenyang ying yong sheng tai yan jiu suo zhu ban | Year: 2011

In March, June, September, and December 2007, investigations were conducted on the species composition, dominant species, community structure, and abundance distribution of phytoplankton in the Fangchenggang Bay of Guangxi. Based on the investigation data, the phytoplankton abundance, biotic index, and their correlations with environmental factors were analyzed. A total of 138 species of 54 genera were identified, among which, 112 species belonged to 37 genera of diatoms, 21 species belonged to 12 genera of dinoflagellates, 2 species belonged to chrysophyta, 2 species belonged to chlorophyta, and 1 species belonged to cyanophyta. In whole year, the dominant species was Skeletonema costatum. The species number had a trend decreasing from the outer to the inner of the Bay and from spring to winter, while the cell abundance was decreased from the inner to the outer of the Bay. There was an obvious annual change in the cell abundance, being the highest (151.39 x 10(4) cells x dm(-3)) in summer (June) and the lowest (0.35 x 10(4) cells x dm(-3)) in winter (December). In spring, both the diversity and the species number were higher. Correlation analysis demonstrated that the distribution of phytoplankton community had definite correlations with water nutrient content, temperature and salinity. At the observation stations 1 and 2 in west Bay, due to the effects of Fangcheng River runoff and hydrodynamic forces such as tide, water salinity was lower and nutrient content was higher, and accordingly, S. costatum cells in summer could greatly reproduce, even result in high probability of red tide. Source

Xie N.-Z.,Guangxi Academy of science | Liang H.,CAS Institute of Microbiology | Huang R.-B.,Guangxi Academy of science | Xu P.,Shanghai JiaoTong University
Biotechnology Advances | Year: 2014

Muconic acid (MA), a high value-added bio-product with reactive dicarboxylic groups and conjugated double bonds, has garnered increasing interest owing to its potential applications in the manufacture of new functional resins, bio-plastics, food additives, agrochemicals, and pharmaceuticals. At the very least, MA can be used to produce commercially important bulk chemicals such as adipic acid, terephthalic acid and trimellitic acid. Recently, great progress has been made in the development of biotechnological routes for MA production. This present review provides a comprehensive and systematic overview of recent advances and challenges in biotechnological production of MA. Various biological methods are summarized and compared, and their constraints and possible solutions are also described. Finally, the future prospects are discussed with respect to the current state, challenges, and trends in this field, and the guidelines to develop high-performance microbial cell factories are also proposed for the MA production by systems metabolic engineering. © 2014 Elsevier Inc. Source

Yan S.,Guangxi Academy of science | Wu G.,Guangxi Academy of science
Applied Biochemistry and Biotechnology | Year: 2012

This was the continuation of our previous study along the same line with more focus on technical details because the data are usually divided into two datasets, one for model development and the other for model validation during the development of predictive model. The widely used validation method is the delete-1 jackknife validation. However, no systematical studies were conducted to determine whether the jackknife validation with different deletions works better because the number of validations with different deletions increases in a factorial fashion. Therefore it is only small dataset that can be used for such an exhausted study. Cellulase is an enzyme playing an important role in modern industry, and many parameters related to cellulase in enzymatic reactions were poorly documented. With increased interests in cellulases in bio-fuel industry, the prediction of parameters in enzymatic reactions is listed on agenda. In this study, two aims were defined (a) which amino acid property works better to predict the temperature optimum and (b) with which deletion the jackknife validation works. The results showed that the amino acid distribution probability works better in predicting the optimum temperature of catalytic reaction by cellulase, and the delete-4, more precisely one-fifth deletion, jackknife validation works better. © Springer Science+Business Media, LLC 2011. Source

Yan S.,Guangxi Academy of science | Wu G.,Guangxi Academy of science
Applied Biochemistry and Biotechnology | Year: 2011

The optimal working conditions for enzymes are very much elegant, and their determination is often through experimental approach, which generally is costly and time-consuming. Therefore, it is important to develop methods to use as simple as possible information to predict the optimal working condition for enzymes. Cellulase is a very important enzyme widely used in industries. In this study, we attempted to use a 20-1 feedforward backpropagation neural network to screen 24 amino acid properties related to the primary structure of cellulases as predictors to predict the pH optimum in cellulases. The results show that some predictors can predict the pH, especially amino acid distribution probability. © 2011 Springer Science+Business Media, LLC. Source

Yan S.,Guangxi Academy of science | Wu G.,DreamSciTech Consulting
Viral Immunology | Year: 2010

The occurrence of swine H1N1 pandemic was unexpected because our previous focus was concentrated on highly pathogenic avian H5N1 outbreaks. The H1N1 pandemic means that cross-species infection and cross-subtype mutation is not as rare as we had previously thought, and the barriers between species and between subtypes are not strong for influenza A virus. In this study, we use ANOVA to determine if there are barriers between species and between subtypes in the matrix protein 1 family from influenza A virus. The results show that the inter-species/subtype variations are generally much smaller than the intra-species/subtype ones, indicating that the barriers between species and between subtypes are not strong for influenza A viruses, which provides statistical evidence for cross-species infections and cro ss-subtype mutations. © 2010 Mary Ann Liebert, Inc. Source

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